Bangla optical character recognition using Kohonen network

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2006.

Библиографические подробности
Главный автор: Shatil, Adnan Md. Shoeb
Другие авторы: Khan, Mumit
Формат: Диссертация
Опубликовано: BRAC University 2010
Online-ссылка:http://hdl.handle.net/10361/288
id 10361-288
record_format dspace
spelling 10361-2882022-01-26T10:08:25Z Bangla optical character recognition using Kohonen network Shatil, Adnan Md. Shoeb Khan, Mumit Department of Computer Science and Engineering, BRAC University This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2006. Cataloged from PDF version of thesis report. Includes bibliographical references (page 32). This report is based on Optical Character Recognition (OCR) specially Bangla (National Language of Bangladesh) Optical Character Recognition process and its steps. The whole idea is converting text images into editable texts. In this report the raw data are offline printed characters. Theses characters are collected from computer images and also scanned documents. As no skew conversion and correction is considered in processing or preprocessing stages, so the documents are scanned with great care. After collecting the raw data, they are pre-processed with gray scale conversion and then black and white conversion. When we get the black and white image, there are only two types of data on that image. So we can consider it as a binary file. The character area is represented by 1 (one) and the rest of image area is represented with 0 (zero). On the next step we grab the whole image, take the binary data and placed it on to 25 X 25 pixels by pixel mapping procedures. Then we collect 625 bit long vector for each word or character. This vector is then trained with Kohonen neural network is considered as classification stage. So an optical character is recognized with Kohonen Network. Adnan Md. Shoeb Shatil B. Computer Science and Engineering 2010-10-03T06:28:12Z 2010-10-03T06:28:12Z 2006 2006-05 Thesis ID 01201070 http://hdl.handle.net/10361/288 BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 32 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2006.
author2 Khan, Mumit
author_facet Khan, Mumit
Shatil, Adnan Md. Shoeb
format Thesis
author Shatil, Adnan Md. Shoeb
spellingShingle Shatil, Adnan Md. Shoeb
Bangla optical character recognition using Kohonen network
author_sort Shatil, Adnan Md. Shoeb
title Bangla optical character recognition using Kohonen network
title_short Bangla optical character recognition using Kohonen network
title_full Bangla optical character recognition using Kohonen network
title_fullStr Bangla optical character recognition using Kohonen network
title_full_unstemmed Bangla optical character recognition using Kohonen network
title_sort bangla optical character recognition using kohonen network
publisher BRAC University
publishDate 2010
url http://hdl.handle.net/10361/288
work_keys_str_mv AT shatiladnanmdshoeb banglaopticalcharacterrecognitionusingkohonennetwork
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